• Monitored and analyzed security events using CrowdStrike Falcon EDR, identifying threats and coordinating with other teams for resolution. • Integrated SIEM solutions like Splunk for log analysis & threat detection.• Managed and resolved both general IT and security-related incidents. Used ticketing systems like ServiceNow and Footprints to track and resolve security incidents promptly.• Performed regular patching and updates on servers to maintain security and compliance across university systems.• Worked with Azure Active Directory, implementing Single Sign-On (SSO) and Multi-Factor Authentication (MFA) to enhance security for university accounts.• Provided in-person and on-call support, troubleshooting technical issues for Windows, Mac, and Linux systems used by Faculty, staff, and students. • Assisting students with Brightspace Learning Management System and other Dal websites, addressing issues on platforms like Microsoft Teams and ITS website. • Guiding students and faculty through software downloads, installation, troubleshooting open-source web applications, and setting up VPN (Virtual Private Network).

- Collaborate with the course instructor to facilitate engaging and interactive class sessions. Provide clarification on complex concepts, lead discussions, and assist in hands-on exercises related to network architecture.- Offer guidance and support to students, both inside and outside of the classroom. Be accessible for one-on-one or group discussions, addressing questions, concerns, and providing additional resources to enhance understanding.- Oversee and conduct lab sessions to reinforce theoretical concepts with practical, hands-on experience. Assist students in configuring network devices, troubleshooting issues, and implementing best practices in network design.

As an Exam Proctor, I will be responsible for upholding the integrity of examinations, creating a conducive testing environment, and ensuring that all protocols are followed to guarantee a fair and standardized assessment experience.

• Engineered and optimized path planning algorithms for drone swarms, leveraging AWS cloud infrastructure to run scalable simulations and data processing.• Developed and maintained Python scripts for automation and data analysis.• Implemented Docker for efficient development and deployment, and managed AWS resources for cloud operations.• Worked with cross-functional teams to integrate AI drone solutions into cloud platforms, enabling seamless remote access and control

• Managed and deployed Linux-based virtual machines (VMs) and Docker containers, ensuring secure configurations and compliance with industry standards.• Automated VM and container deployment using Bash and Python, reducing manual configuration time by 40%.• Collaborated with the cybersecurity team to monitor and manage VM and container security, identifying potential vulnerabilities and applying necessary updates to prevent security breaches

Developed and implemented an object detection system using Python and OpenCV, enhancing image and video analysis accuracy.Fine-tuned machine learning models to improve detection speed and performance, achieving optimized results.Gained hands-on experience in Python, machine learning, and computer vision, contributing to successful AI-driven projects.